Survey Data Analysis Using Stata

Description

This course covers how to use Stata for survey data analysis assuming a
fixed population. It begins by reviewing the sampling methods used to collect
survey data, and then discusses how they act in the estimation of totals,
ratios, and regression coefficients. It then covers variance estimation
methods implemented in Stata’s survey estimation commands. The course
will also cover strata with a single sampling unit, certainty sampling units,
subpopulation estimation, and poststratification.
Interactive Stata sessions are dispersed between lectures.

How to use Stata’s svyset command to identify the survey
characteristics present in the dataset. These characteristics include:

Sampling units at each sampling stage

Strata at each sampling stage

Sampling fractions used in the finite population correction when
units are sampled with out replacement at each sampling stage

Replication weight variables

Poststrata and their associated sizes

How to handle certainty units

The available choices for handling strata with one sampling unit

The difference between restricted sample estimation and subpopulation
estimation

Prerequisite

Knowledge of Stata is not required, but attendees are assumed to have some
statistical knowledge, such as what is typically covered in an introductory
statistics course. This workshop is geared toward data analysis
professionals who are not familiar with the survey data features in Stata.

Enrollment is limited.
Computers with Stata installed are provided at all public training
sessions.
All training courses run from 8:30 a.m. to 4:30 p.m. each day.
A continental breakfast, lunch, and an afternoon snack will also be
provided; the breakfast is available before the course begins.
All participants are encouraged to bring a USB flash drive to all
public training sessions; this is the safest and simplest way to save your work
from the session.